{"id":258388,"date":"2024-12-24T06:30:00","date_gmt":"2024-12-24T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=258388"},"modified":"2024-12-17T10:41:18","modified_gmt":"2024-12-17T10:41:18","slug":"tensorflow-extended-tfx-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/tensorflow-extended-tfx-tout-savoir","title":{"rendered":"TensorFlow Extended (TFX) : Qu&rsquo;est-ce que c&rsquo;est ? Comment l&rsquo;utiliser ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"258388\" class=\"elementor elementor-258388\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5802426 e-flex e-con-boxed e-con\" data-id=\"5802426\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ba371d1 elementor-widget elementor-widget-text-editor\" data-id=\"ba371d1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>TensorFlow Extended (TFX) est une plateforme robuste d\u00e9velopp\u00e9e par Google\u00a0 con\u00e7ue pour standardiser et optimiser tout le cycle de vie des mod\u00e8les de machine learning (ML).<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4c7e39 elementor-widget elementor-widget-text-editor\" data-id=\"b4c7e39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Avec ses nombreux composants et ses int\u00e9grations avanc\u00e9es, TFX permet aux entreprises de construire des <\/span><b>pipelines automatis\u00e9s et \u00e9volutifs<\/b><span style=\"font-weight: 400;\">, tout en assurant la qualit\u00e9 et la tra\u00e7abilit\u00e9 des processus. Dans cet article, nous explorons en profondeur les fonctionnalit\u00e9s de TFX, ses applications et les raisons pour lesquelles il constitue une solution de choix pour les projets ML complexes.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8c23b38 e-flex e-con-boxed e-con\" data-id=\"8c23b38\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-10a7496 elementor-widget elementor-widget-heading\" data-id=\"10a7496\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">Qu'est-ce que TensorFlow Extended (TFX) ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4df673c elementor-widget elementor-widget-text-editor\" data-id=\"4df673c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>TFX<\/b><span style=\"font-weight: 400;\"> est une plateforme open source construite autour de<\/span> <a href=\"https:\/\/datascientest.com\/tensorflow\">TensorFlow<\/a><span style=\"font-weight: 400;\">, visant \u00e0 industrialiser le cycle de vie des mod\u00e8les d&rsquo;apprentissage automatique. L\u2019objectif principal de TFX est de rendre les pipelines ML plus efficaces en <\/span><b>automatisant les t\u00e2ches cl\u00e9s du ML<\/b><span style=\"font-weight: 400;\">, comme la pr\u00e9paration des donn\u00e9es, l\u2019entra\u00eenement et le d\u00e9ploiement des mod\u00e8les, tout en minimisant les interventions humaines.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Gr\u00e2ce \u00e0 ses int\u00e9grations avec des outils tels qu\u2019<\/span><b>Apache Beam<\/b><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/apache-airflow\">Apache Airflow<\/a><span style=\"font-weight: 400;\"> et <\/span><b>Kubeflow Pipelines<\/b><span style=\"font-weight: 400;\">, TFX s\u2019adapte aussi bien aux environnements cloud qu\u2019aux infrastructures locales, offrant ainsi une flexibilit\u00e9 in\u00e9gal\u00e9e.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a72b0fd elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a72b0fd\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Approfondissez le sujet TensorFlow Extended<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-24b3700 e-flex e-con-boxed e-con\" data-id=\"24b3700\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-73f8e1e elementor-widget elementor-widget-heading\" data-id=\"73f8e1e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Les composants cl\u00e9s de TFX : une plateforme modulaire<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e41e97c elementor-widget elementor-widget-text-editor\" data-id=\"e41e97c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Les composants de TFX sont au c\u0153ur de son efficacit\u00e9. Chacun joue un r\u00f4le sp\u00e9cifique dans la cr\u00e9ation et la gestion des pipelines ML.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-490b31d elementor-widget elementor-widget-heading\" data-id=\"490b31d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">1. TensorFlow Data Validation (TFDV)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e32e8e elementor-widget elementor-widget-text-editor\" data-id=\"7e32e8e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>TFDV<\/b><span style=\"font-weight: 400;\"> est con\u00e7u pour analyser les ensembles de donn\u00e9es et d\u00e9tecter des anomalies ou des incoh\u00e9rences. Il offre des visualisations riches et des statistiques d\u00e9taill\u00e9es, permettant de garantir que les donn\u00e9es d\u2019entr\u00e9e respectent les standards requis pour l\u2019entra\u00eenement des mod\u00e8les.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32bfb1f elementor-widget elementor-widget-image\" data-id=\"32bfb1f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-1.webp\" class=\"attachment-full size-full wp-image-258418\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-1.webp 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-1-300x171.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-1-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d2b2a4 elementor-widget elementor-widget-heading\" data-id=\"8d2b2a4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">2. TensorFlow Transform (TFT)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2d0ee26 elementor-widget elementor-widget-text-editor\" data-id=\"2d0ee26\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>TFT<\/b><span style=\"font-weight: 400;\"> est un outil puissant pour appliquer des transformations scalables aux donn\u00e9es, comme la normalisation ou le codage cat\u00e9goriel. Ces transformations sont enregistr\u00e9es et appliqu\u00e9es de mani\u00e8re coh\u00e9rente lors de l&rsquo;entra\u00eenement et de la pr\u00e9diction.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5538841 elementor-widget elementor-widget-heading\" data-id=\"5538841\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">3. TensorFlow Model Analysis (TFMA)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71032cf elementor-widget elementor-widget-text-editor\" data-id=\"71032cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Avec <\/span><b>TFMA<\/b><span style=\"font-weight: 400;\">, vous pouvez analyser et \u00e9valuer vos mod\u00e8les en utilisant des m\u00e9triques adapt\u00e9es \u00e0 vos objectifs. Il facilite \u00e9galement l\u2019identification des biais et des faiblesses dans les performances des mod\u00e8les.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-319e82e elementor-widget elementor-widget-heading\" data-id=\"319e82e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">4. TensorFlow Serving<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f956b6 elementor-widget elementor-widget-text-editor\" data-id=\"8f956b6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Ce composant g\u00e8re le d\u00e9ploiement des mod\u00e8les en production. Il est optimis\u00e9 pour fournir des pr\u00e9dictions en temps r\u00e9el et prend en charge les mises \u00e0 jour continues sans interruption des services.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2f6af4 elementor-widget elementor-widget-heading\" data-id=\"b2f6af4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">5. ML Metadata (MLMD)<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de81e52 elementor-widget elementor-widget-text-editor\" data-id=\"de81e52\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>MLMD<\/b><span style=\"font-weight: 400;\"> assure une <\/span><b>gestion centralis\u00e9e<\/b><span style=\"font-weight: 400;\"> des m\u00e9tadonn\u00e9es g\u00e9n\u00e9r\u00e9es par les pipelines. Cela inclut des informations sur les transformations, les hyperparam\u00e8tres et les r\u00e9sultats des mod\u00e8les, permettant une tra\u00e7abilit\u00e9 totale.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6411016 elementor-widget elementor-widget-heading\" data-id=\"6411016\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">6. TensorFlow Pipeline Orchestration<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-156ce16 elementor-widget elementor-widget-text-editor\" data-id=\"156ce16\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>TFX<\/b><span style=\"font-weight: 400;\"> prend en charge des outils d\u2019orchestration comme Apache Airflow et Kubeflow Pipelines, qui automatisent l\u2019ex\u00e9cution des pipelines, offrant ainsi une gestion fluide des t\u00e2ches et une scalabilit\u00e9 accrue.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27e3324 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"27e3324\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Ma\u00eetrisez les composants cl\u00e9s de TFX<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-978013e e-flex e-con-boxed e-con\" data-id=\"978013e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-13251d2 elementor-widget elementor-widget-heading\" data-id=\"13251d2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Pourquoi adopter TFX pour vos projets ML ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4230733 elementor-widget elementor-widget-heading\" data-id=\"4230733\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">1. Automatisation et gain de temps<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4d378f elementor-widget elementor-widget-text-editor\" data-id=\"c4d378f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Avec TFX, les t\u00e2ches r\u00e9currentes comme la<\/span><b> validation des donn\u00e9es<\/b><span style=\"font-weight: 400;\"> ou <\/span><b>l&rsquo;\u00e9valuation des mod\u00e8les sont automatis\u00e9es<\/b><span style=\"font-weight: 400;\">, permettant ainsi aux \u00e9quipes de se concentrer sur des aspects strat\u00e9giques. Les processus automatis\u00e9s r\u00e9duisent \u00e9galement les risques d&rsquo;erreurs humaines.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30e7801 elementor-widget elementor-widget-heading\" data-id=\"30e7801\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">2. Int\u00e9gration transparente<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d8b2c6 elementor-widget elementor-widget-text-editor\" data-id=\"8d8b2c6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">TFX s\u2019int\u00e8gre parfaitement avec les environnements existants, qu\u2019ils soient bas\u00e9s sur le cloud ou locaux. Les entreprises peuvent tirer parti des solutions cloud comme <\/span><a href=\"https:\/\/datascientest.com\/google-cloud-platform-tout-savoir\">Google Cloud<\/a><span style=\"font-weight: 400;\"> ou des outils comme <\/span><b>Vertex AI<\/b><span style=\"font-weight: 400;\"> pour renforcer leurs capacit\u00e9s de traitement.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7fa9d6 elementor-widget elementor-widget-heading\" data-id=\"a7fa9d6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">3. Standardisation et reproductibilit\u00e9<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb7de78 elementor-widget elementor-widget-text-editor\" data-id=\"eb7de78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Les pipelines TFX sont con\u00e7us pour \u00eatre <\/span><b>standardis\u00e9s<\/b><span style=\"font-weight: 400;\"> et<\/span><b> reproductibles<\/b><span style=\"font-weight: 400;\">, garantissant une coh\u00e9rence dans le traitement des donn\u00e9es et l\u2019entra\u00eenement des mod\u00e8les.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3824d4 elementor-widget elementor-widget-heading\" data-id=\"d3824d4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">4. Optimisation des co\u00fbts<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71e2716 elementor-widget elementor-widget-text-editor\" data-id=\"71e2716\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Gr\u00e2ce \u00e0 une orchestration efficace et \u00e0 l\u2019automatisation, TFX r\u00e9duit le temps et les ressources n\u00e9cessaires pour mettre des mod\u00e8les en production.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7529b1 elementor-widget elementor-widget-image\" data-id=\"e7529b1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-2.webp\" class=\"attachment-full size-full wp-image-258422\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-2.webp 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-2-300x171.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-2-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-50aae9d e-flex e-con-boxed e-con\" data-id=\"50aae9d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c7f83c9 elementor-widget elementor-widget-heading\" data-id=\"c7f83c9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Applications industrielles de TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f2d7833 elementor-widget elementor-widget-text-editor\" data-id=\"f2d7833\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">TFX s\u2019adapte \u00e0 une grande vari\u00e9t\u00e9 de secteurs gr\u00e2ce \u00e0 sa flexibilit\u00e9 et ses fonctionnalit\u00e9s avanc\u00e9es. Voici quelques exemples d\u2019applications concr\u00e8tes :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-238049f elementor-widget elementor-widget-heading\" data-id=\"238049f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">1. Secteur de l\u2019e-commerce<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd1c378 elementor-widget elementor-widget-text-editor\" data-id=\"bd1c378\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Les entreprises utilisent<\/span><b> TFX<\/b><span style=\"font-weight: 400;\"> pour optimiser les syst\u00e8mes de recommandation, permettant une personnalisation accrue de l&rsquo;exp\u00e9rience utilisateur bas\u00e9e sur les comportements des clients.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e58e426 elementor-widget elementor-widget-heading\" data-id=\"e58e426\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">2. Sant\u00e9 et biotechnologie<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41c1fc1 elementor-widget elementor-widget-text-editor\" data-id=\"41c1fc1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">TFX facilite l&rsquo;analyse des donn\u00e9es m\u00e9dicales volumineuses, contribuant \u00e0 des avanc\u00e9es dans les diagnostics assist\u00e9s par intelligence artificielle.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-84fc0a5 elementor-widget elementor-widget-heading\" data-id=\"84fc0a5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">3. Services financiers<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45f99df elementor-widget elementor-widget-text-editor\" data-id=\"45f99df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Les institutions financi\u00e8res s&rsquo;appuient sur TFX pour des applications critiques comme la d\u00e9tection des fraudes ou l&rsquo;\u00e9valuation des risques, o\u00f9 la pr\u00e9cision et la rapidit\u00e9 sont primordiales.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfa0967 elementor-widget elementor-widget-heading\" data-id=\"cfa0967\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><font size=\"4\">4. Publicit\u00e9 num\u00e9rique<\/font><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-23a6b29 elementor-widget elementor-widget-text-editor\" data-id=\"23a6b29\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Dans le domaine du marketing digital, TFX est utilis\u00e9 pour optimiser les campagnes publicitaires en analysant les donn\u00e9es des utilisateurs en temps r\u00e9el gr\u00e2ce \u00e0 <strong>TensorFlow Serving<\/strong>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f7a491e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f7a491e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprenez \u00e0 utiliser TFX pour vos projets IA<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-29af48c e-flex e-con-boxed e-con\" data-id=\"29af48c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b834d1c elementor-widget elementor-widget-heading\" data-id=\"b834d1c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00c9tapes pratiques pour cr\u00e9er un pipeline ML avec TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f794327 elementor-widget elementor-widget-text-editor\" data-id=\"f794327\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ol><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Analyse des donn\u00e9es :<\/b><span style=\"font-weight: 400;\"> Utilisez TFDV pour inspecter les donn\u00e9es et identifier les anomalies potentielles.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Transformation des donn\u00e9es :<\/b><span style=\"font-weight: 400;\"> Appliquez des transformations scalables via TFT.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Entra\u00eenement des mod\u00e8les :<\/b><span style=\"font-weight: 400;\"> Configurez vos algorithmes avec TensorFlow pour apprendre \u00e0 partir des donn\u00e9es transform\u00e9es.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>\u00c9valuation des performances :<\/b><span style=\"font-weight: 400;\"> V\u00e9rifiez l\u2019efficacit\u00e9 des mod\u00e8les avec TFMA.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mise en production :<\/b><span style=\"font-weight: 400;\"> D\u00e9ployez les mod\u00e8les \u00e0 l\u2019aide de TensorFlow Serving.<\/span><\/li><li><b>Surveillance continue :<\/b><span style=\"font-weight: 400;\"> Utilisez MLMD pour suivre les performances et ajuster les mod\u00e8les si n\u00e9cessaire.<\/span><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-346015c elementor-widget elementor-widget-image\" data-id=\"346015c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-3.webp\" class=\"attachment-full size-full wp-image-258423\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-3.webp 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-3-300x171.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/12\/TensorFlow-Extended-TFX-DataScientest-3-768x439.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e8a15ca e-flex e-con-boxed e-con\" data-id=\"e8a15ca\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b677d73 elementor-widget elementor-widget-heading\" data-id=\"b677d73\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">D\u00e9fis courants et solutions apport\u00e9es par TFX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2aff8d elementor-widget elementor-widget-text-editor\" data-id=\"b2aff8d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3><b><font size=\"4\">Complexit\u00e9 des syst\u00e8mes ML<\/font><\/b><\/h3>\n<span style=\"font-weight: 400;\">TFX simplifie la construction et la gestion des pipelines en unifiant les \u00e9tapes critiques dans une seule plateforme.<\/span>\n<h3><b><font size=\"4\">Maintenance continue<\/font><\/b><\/h3>\n<span style=\"font-weight: 400;\">La surveillance et le r\u00e9entra\u00eenement automatis\u00e9s garantissent que les mod\u00e8les restent performants face aux \u00e9volutions des donn\u00e9es.<\/span>\n<h3><b><font size=\"4\">Gestion des ressources<\/font><\/b><\/h3>\n<span style=\"font-weight: 400;\">En int\u00e9grant des solutions cloud et des outils d&rsquo;orchestration, TFX permet d&rsquo;optimiser l&rsquo;utilisation des ressources et de r\u00e9duire les co\u00fbts.<\/span>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-57af49b e-flex e-con-boxed e-con\" data-id=\"57af49b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a409b1 elementor-widget elementor-widget-heading\" data-id=\"4a409b1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d092c41 elementor-widget elementor-widget-text-editor\" data-id=\"d092c41\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>TensorFlow Extended (TFX)<\/b><span style=\"font-weight: 400;\"> est un outil incontournable pour les entreprises cherchant \u00e0 <a href=\"https:\/\/datascientest.com\/pipeline-de-donnees\">maximiser l&rsquo;efficacit\u00e9 et la fiabilit\u00e9 de leurs pipelines ML<\/a>. Gr\u00e2ce \u00e0 ses composants modulaires et ses capacit\u00e9s d&rsquo;int\u00e9gration, il offre une solution compl\u00e8te pour <\/span><b>automatiser<\/b><span style=\"font-weight: 400;\"> et <\/span><b>standardiser<\/b><span style=\"font-weight: 400;\"> le cycle de vie des mod\u00e8les ML. Que vous soyez un d\u00e9veloppeur ou un d\u00e9cideur, investir dans TFX est une d\u00e9cision strat\u00e9gique pour <a href=\"https:\/\/datascientest.com\/formation-intelligence-artificielle\">assurer le succ\u00e8s \u00e0 long terme de vos projets d&rsquo;intelligence artificielle<\/a>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-651cc36 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"651cc36\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Suivez une formation avec DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1857193 e-flex e-con-boxed e-con\" data-id=\"1857193\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-657f0a2 elementor-widget elementor-widget-html\" data-id=\"657f0a2\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Qu'est-ce que TensorFlow Extended (TFX) ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TensorFlow Extended (TFX) est une plateforme open source con\u00e7ue pour la gestion compl\u00e8te des pipelines de machine learning, depuis la pr\u00e9paration des donn\u00e9es jusqu'au d\u00e9ploiement des mod\u00e8les en production.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quels sont les composants cl\u00e9s de TFX ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Les composants cl\u00e9s de TFX incluent TFX Data Validation (TFDV) pour l'analyse des donn\u00e9es, TensorFlow Transform (TFT) pour la transformation des donn\u00e9es, TensorFlow Model Analysis (TFMA) pour l'\u00e9valuation des mod\u00e8les, et TensorFlow Serving pour le d\u00e9ploiement en production.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quels sont les avantages de TFX par rapport \u00e0 d'autres plateformes de machine learning ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TFX est \u00e9troitement int\u00e9gr\u00e9 avec TensorFlow, ce qui permet une gestion transparente des mod\u00e8les. Il offre des outils sp\u00e9cialis\u00e9s pour chaque \u00e9tape du pipeline et supporte les environnements cloud et sur site.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"TFX est-il adapt\u00e9 aux d\u00e9butants en machine learning ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"TFX est principalement destin\u00e9 aux professionnels travaillant sur des projets de machine learning \u00e0 grande \u00e9chelle. Les d\u00e9butants peuvent commencer par apprendre TensorFlow avant de passer \u00e0 TFX pour des pipelines avanc\u00e9s.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>TensorFlow Extended (TFX) est une plateforme robuste d\u00e9velopp\u00e9e par Google&nbsp; con\u00e7ue pour standardiser et optimiser tout le cycle de vie des mod\u00e8les de machine learning (ML). Avec ses nombreux composants et ses int\u00e9grations avanc\u00e9es, TFX permet aux entreprises de construire des pipelines automatis\u00e9s et \u00e9volutifs, tout en assurant la qualit\u00e9 et la tra\u00e7abilit\u00e9 des processus. [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":258390,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TensorFlow Extended (TFX) : Qu&#039;est-ce que c&#039;est ? 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